A Multiobjective Evolutionary Algorithm Approach for Map Sketch Generation

  • Şafak TopçuEmail author
  • A. Şima Etaner-Uyar
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 650)


In this paper, we present a method to generate map sketches for strategy games using a state of the art many-objective evolutionary algorithm, namely NSGAIII. The map sketch generator proposed in this study outputs a three objective Pareto-front in which all the points are fair and strong in different aspects. The generated map sketch can be used by level designers to create real time strategy maps effectively and/or help them see multiple aspects of a game map simultaneously. The algorithm can also be utilised as a benchmark generator to be used in tests for various cases such as shortest path algorithms and strategy game bots. The results reported in this paper are very promising and promote further study.


Procedural content generation Games Computational intelligence Map sketch generation Evolutionary multiobjective optimization NSGAIII 


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.MEF UniversityIstanbulTurkey
  2. 2.Istanbul Technical UniversityIstanbulTurkey
  3. 3.Graduate School of Science Engineering and TechnologyIstanbul Technical UniversityIstanbulTurkey

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